Earlier Web Usage Statistics as Predictors of Later Citation Impact


Brody, Tim, Harnad, Stevan and Carr, Les (2006) Earlier Web Usage Statistics as Predictors of Later Citation Impact. Journal of the American Association for Information Science and Technology (JASIST), 57, (8), 1060-1072.

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Description/Abstract

Abstract: The use of citation counts to assess the impact of research articles is well established. However, the citation impact of an article can only be measured several years after it has been published. As research articles are increasingly accessed through the Web, the number of times an article is downloaded can be instantly recorded and counted. One would expect the number of times an article is read to be related both to the number of times it is cited and to how old the article is. This paper analyses how short-term Web usage impact predicts medium-term citation impact. The physics e-print archive -- arXiv.org -- is used to test this.

Item Type: Article
Additional Information: DOI: 10.1002/asi.20373
Related URLs:
Keywords: open access, research impact, self-archiving, journal publication, downloads, citations
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
Item ID: 260713
Date Deposited: 18 May 2005
Last Modified: 06 Mar 2012 16:57
Contributors: Brody, Tim (Author)
Harnad, Stevan (Author)
Carr, Les (Author)
Date: 2006
Additional Information: DOI: 10.1002/asi.20373
Status: Published
Publisher: Wiley Intersceince
Further Information:Google Scholar
ISI Citation Count:54
URI: http://eprints.soton.ac.uk/id/eprint/260713

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